Preview

Math Homework

Satisfactory Essays
Open Document
Open Document
463 Words
Grammar
Grammar
Plagiarism
Plagiarism
Writing
Writing
Score
Score
Math Homework
Math 5067 001 Homework 1 Due 9/11/13

1. Read Chapter 1 in the DHW text (sections 1.1 – 1.3 are mandatory) and answer the following: a. List at least three incentives for an insurance company to develop new insurance products. b. (Exercise 1.1 in DHW) Why do insurers generally require evidence of health from a person applying for life insurance but not for an annuity? c. (Exercise 1.3 in DHW) Explain why premiums are payable in advance, so that the first premium is due at issue, rather than in one year’s time.

2. Let ������! ������ = 1 − (1 − !"#)! for 0 ≤ ������ ≤ 105. Calculate: a. The probability that a newborn life dies before age 60. b. The probability that a life aged 30 survives to at least age 70. c. The probability that a life aged 20 dies between ages 90 and 100
18000 −110x − x 2 has been proposed as the survival function ������! (������) for a 18000

!

!

3. The function G(x) =

mortality model. a. Under which conditions G(x) satisfy the criteria for a survival function? b. Determine the survival function for life aged 20. c. Calculate the probability that a life aged 20 dies between ages 30 and 40 d. Calculate 20 p0 . 4. Show that if X is a random variable such that P(X ≥ 0) = 1 then


a. E[X] = €

∫ s(x)dx
0 ∞ 0



b. E[X 2 ] = 2 ∫ xs(x)dx where s(x) is the survival function for X .

€ 5. Find the expected value E[X] and the variance Var(X) for the following random variables ( X ):
a.

X for which µ (x) = 0.5 for x ≥ 0 . €

€ €

x € b. X for which the CDF F(x) = € for 0 ≤ x ≤ 100 . 100 €



6. Given that px = 0.99 , px +1 = 0.985 , 3 px +1 = 0.95 and qx +3 = 0.02 , calculate: a. px +3 b. 2 px c. 2 px +1 € € € € d. 3 px € e. 1|2 qx € € € €7. Show that q = p q t|u x t x u x+t . 8. Given that the force of mortality µx = 2x , determine the cumulative distribution function for the random variable age at death, FX (x) , the probability density function f X (x) , and the survival function sX (x) .
€ € €

d 9. €

You May Also Find These Documents Helpful

  • Powerful Essays

    2. Calculate the mean and standard deviation of the probability distribution created by rolling a die. Either show work or explain how your answer was calculated.…

    • 619 Words
    • 3 Pages
    Powerful Essays
  • Satisfactory Essays

    Diclduybc

    • 297 Words
    • 2 Pages

    1. The standard plot on the left appears exponential. However, by examining the semi-log plot on the right, we see that only a portion of the data is actually exponential. For what ages would you conclude that the probability (in decimal form) of dying in the next year is approximately exponential? Explain.…

    • 297 Words
    • 2 Pages
    Satisfactory Essays
  • Satisfactory Essays

    Ilab Week 6 Devry

    • 660 Words
    • 3 Pages

    2. Calculate the mean and standard deviation of the probability distribution created by rolling a die. Either show work or explain how your answer was calculated.…

    • 660 Words
    • 3 Pages
    Satisfactory Essays
  • Good Essays

    Res341 Final Exam

    • 1158 Words
    • 5 Pages

    2) A recent study of breast cancer revealed that 13% of women in the sample used antibiotics more than 500 days in their lifetime. Further, 79% of these women developed breast cancer. According to the American Cancer Society, one in 12 women will develop breast cancer at some time in their lives. Of the numbers mentioned, which are parameters?…

    • 1158 Words
    • 5 Pages
    Good Essays
  • Powerful Essays

    Ilab Week 6 Math 221

    • 805 Words
    • 4 Pages

    2. Calculate the mean and standard deviation of the probability distribution created by rolling a die. Either show work or explain how your answer was calculated.…

    • 805 Words
    • 4 Pages
    Powerful Essays
  • Better Essays

    Quiz for 5wk Statistics

    • 942 Words
    • 4 Pages

    We have the random variable X = {3, 6} with P(3) = .15 and P(6) = .85. Find E(X).…

    • 942 Words
    • 4 Pages
    Better Essays
  • Good Essays

    Statistics - Lab #6

    • 823 Words
    • 4 Pages

    1.) When rolling a die, is this an example of a discrete or continuous random variable? Explain…

    • 823 Words
    • 4 Pages
    Good Essays
  • Powerful Essays

    Question 2 (10 marks) An insurance company is modelling its motor insurance claims. It has determined that the probability of a claim depends on the number of claims in the previous two years. If a motor insurance…

    • 2401 Words
    • 10 Pages
    Powerful Essays
  • Satisfactory Essays

    Isds 361a

    • 547 Words
    • 3 Pages

    * Law of Expected Value: E(c)=C , E(x+c) = E(x) + C, E(cX) = cE(x)…

    • 547 Words
    • 3 Pages
    Satisfactory Essays
  • Satisfactory Essays

    (d) What is the probability that the mean lifetime of 64 randomly selected components is less than 4.8 years?…

    • 1289 Words
    • 6 Pages
    Satisfactory Essays
  • Satisfactory Essays

    Directions: Complete the assignment on this paper. If you need additional paper make sure that you clearly label each page with your name. Your answers for this assignment must include reasons; simply stating the answer without justification will earn partial credit.…

    • 613 Words
    • 5 Pages
    Satisfactory Essays
  • Satisfactory Essays

    Fallacy and Brad Pitt

    • 272 Words
    • 2 Pages

    12. Smith is a 20 old woman, and 90% of such women survive to celebrate their 40th birthday. Thus Smith will live at least another 20 years. G, E,…

    • 272 Words
    • 2 Pages
    Satisfactory Essays
  • Good Essays

    Stoicastic Method

    • 580 Words
    • 3 Pages

    (a) Find µX = E[X]. (b) Apply the Chebyshev inequality to upper bound P (|X − µX | > a). Evaluate your upper bound for the case that p1 = · · · = p = p. What happens as → ∞? 2. (Minimum of Independent Exponential Random Variables) Assume that T1 , . . ., Tn are independent random variables and that each Ti is exponentially distributed with mean 1/µi , i = 1, . . . , n. Let T = min(T1 , . . . , Tn ). (a) Show that T is exponentially distributed. What is its mean? (b) Let the random variable K indicate the index of the Ti that is the minimum. Show that µk P (K = k) = n . i=1 µi 3. (Joint PDF and CDF) Two random variables X and Y have joint pdf: fX,Y (x, y) = csin(x + y) 0 ≤ x ≤ π/2, 0 ≤ y ≤ π/2 (a) Find the value of the constant c. (b) Find the joint cdf of X and Y . (c) Find the marginal pdf’s of X and of Y . (d) Find the mean, variance, and covariance of X and Y . 4. (Uncorrelated vs. Independent)…

    • 580 Words
    • 3 Pages
    Good Essays
  • Satisfactory Essays

    (b) What is the expected value of the bond one year later? What is the standard deviation of the bond value one year later?…

    • 605 Words
    • 3 Pages
    Satisfactory Essays
  • Powerful Essays

    9. Studies have shown that life expectancy at birth for Singaporeans have increased from 61.3 years in 1957 to 81.8 in 2010. So, only people above average life expectancy are counted elderly?…

    • 1249 Words
    • 5 Pages
    Powerful Essays